N_MSBS Models and simulations of blockchain systems

University of Finance and Administration
Summer 2026
Extent and Intensity
2/1/0. 6 credit(s). Type of Completion: zk (examination).
Guaranteed by
doc. Ing. Stanislava Mildeová, CSc.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Prerequisites
Předmět nemá specifické vstupní předpoklady.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The aim of the course is to get to know the basics of modeling and simulation; develop students' ability to model blockchain-related processes and systems. Within the different types of models, the emphasis is on the tools of System Dynamics and Multi-Agent Modeling. The theoretical postulates are practically practiced in the form of a project aimed at creating a simulation model of a selected blockchain system.
Learning outcomes
Study outcomes and competences: Upon successful completion, students will be able to develop a simulation model for  blockchain-related processes and systems in the specialized InsightMaker software.
Syllabus
  • 1. Reality, model, modeling
  • 2. Types of models, the difference between simulation and optimization
  • 3. System, system analysis and synthesis, Blockchain systems
  • 4. Dynamic system, System dynamics
  • 5. Simulation model of System Dynamics
  • 6. Principles of multi-agent modeling
  • 7. Model calibration, simulation experiment, validation
  • 8. Development environments for modeling, InsightMaker
  • 9. Cryptocurrency mining simulation, financial market models
  • 10. Computer games, blockchain in gaming
  • 11. The Internet of Things
  • decentralized network model 12. Design project of a simulation model of a selected blockchain system
Literature
    required literature
  • KREJČÍ, Igor a Roman KVASNIČKA. Systémová dynamika I. V Praze: Česká zemědělská univerzita, Provozně ekonomická fakulta, 2014. ISBN 978-80-213-2478-7.
  • ADÁMEK, Pavel a MEIXNEROVÁ, Lucie. Business modelování: jak na business modely v digitálním prostředí. Expert. Praha: Grada Publishing, 2022. ISBN 978-80-271-3356-7.
    recommended literature
  • BOTTI, Vicent, OMICINI, Andrea, MARIANI, Stefano, JULIAN, Vicente. Multi-agent systems. MDPI, e book, 2021. ISBN 978-3-03897-924-1., ISBN 978-3-03897-925-8.
  • VACEK, Jiří a PEŠÍK, Jiří. Systémové přístupy v managementu. Plzeň: Západočeská univerzita v Plzni, 2022, 176 s.
  • INSIGHTMAKER. TUTORIALS, 2024, https://insightmaker.com/tutorials
Teaching methods
The course combines traditional methods of academic teaching and innovative methods of creative and experiential learning: 1. Classic teaching methods - lecture, training 2. Activating methods - discussion, heuristic methods, methods of situational and staging, educational games 3. Comprehensive methods - group and cooperative learning, individualized instruction, critical and systems thinking, brainstorming, project teaching in teams, teaching computer-assisted, simulation modeling and experimentation.
Assessment methods
Lectures in full-time study. Managed consultations and tutorials in part-time study. Minimal required participation is 75% in full-time study and 50% on tutorials in part-time study. Course completion: Credit and exam. Credit will be given for correctly solved the case study. Exam is evaluated by the number of points - ie the sum of points for semester work and its presentation (50%) and written test (50%). In the written test the student succeeds in achieving at least 60 points out of 100 possible. Scoring: 90-100 points A 80-89 points B 70-79 points C 60-69 points D 50-59 points E 0-49 points F.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
Teacher's information
https://is.vsfs.cz/auth/el/vsfs/leto2025/N_MSBS/opora_predmetu_Modely_a_simulace_blockchainovych_systemu.qwarp
The course is also listed under the following terms Summer 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/summer2026/N_MSBS